Research Progress in landslide Monitoring Based on Time-lapse Resistivity Method

Tao Tao; Peng Han; Kaiyan Hu; Shuangling Mo; Shuangshuang Li; Wei Gong; Gexue Bai; Ruidong Li; Baofeng Wan; Ning An

doi:10.2991/978-94-6463-946-9_6

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Research Progress in landslide Monitoring Based on Time-lapse Resistivity Method

Authors

Tao Tao¹^{, 2}, Peng Han¹^{, 2}^{, *}, Kaiyan Hu³, Shuangling Mo¹^{, 2}, Shuangshuang Li¹^{, 2}, Wei Gong¹^{, 2}, Gexue Bai⁴, Ruidong Li⁴, Baofeng Wan⁴, Ning An⁴

¹Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen, 518055, China

²Guangdong Provincial Key Laboratory of Geophysical High-Resolution Imaging Technology, Southern University of Science and Technology), Shenzhen, 518055, China

³School of Geophysics and Geomatics, China University of Geoscience, Wuhan, 430074, China

⁴Gansu Institute of Engineering Geology, Lanzhou, 730099, China

^*Corresponding author. Email: hanp@sustech.edu.cn

Corresponding Author

Peng Han

Available Online 4 January 2026.

DOI: 10.2991/978-94-6463-946-9_6 How to use a DOI?
Keywords: Landslide Disaster Monitoring; Time-lapse Resistivity Method; Electrical Structure
Abstract: Landslides in China are numerous, widely distributed, frequent, and cause significant damage. Monitoring and early warning are critical measures for preventing landslide disasters. As a near-surface monitoring technique, the time-lapse resistivity method can capture the spatiotemporal evolution of the landslide's internal electrical structure, providing valuable data for landslide prevention and stability analysis. This paper aims to review and summarize the research on the time-lapse resistivity method in landslide monitoring and early warning, assess the current progress, explore potential future developments, and provide insights for scientific research and engineering practices in landslide disaster prevention and control.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 11th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2024)
Series: Advances in Economics, Business and Management Research
Publication Date: 4 January 2026
ISBN: 978-94-6463-946-9
ISSN: 2352-5428
DOI: 10.2991/978-94-6463-946-9_6 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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ris enw bib

TY  - CONF
AU  - Tao Tao
AU  - Peng Han
AU  - Kaiyan Hu
AU  - Shuangling Mo
AU  - Shuangshuang Li
AU  - Wei Gong
AU  - Gexue Bai
AU  - Ruidong Li
AU  - Baofeng Wan
AU  - Ning An
PY  - 2026
DA  - 2026/01/04
TI  - Research Progress in landslide Monitoring Based on Time-lapse Resistivity Method
BT  - Proceedings of the 11th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2024)
PB  - Atlantis Press
SP  - 35
EP  - 42
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-946-9_6
DO  - 10.2991/978-94-6463-946-9_6
ID  - Tao2026
ER  -

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